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13 Aug 2026

A Form V working sheet is nearly complete.
Production has increased by 6% compared with last year.
But water consumption has increased by 24%.
Effluent generation is up by 18%.
Hazardous-waste generation has increased by 28%.
Raw-material consumption per tonne of production is also higher.
At first glance, the figures look inconsistent.
But that does not automatically mean that anything is wrong.
In many Indian plants, environmental numbers do not move in exactly the same proportion as production. Product mix changes. Plants operate at different utilisation levels. More cleaning may be required. New meters get installed. Old estimates are replaced with actual measurements. Waste generated in one year may be dispatched in another.
The important question is therefore not:
“Why doesn't this year's Form V match last year's?”
The better question is:
“Can the change from last year to this year be explained by the underlying operations and supported by records?”
That distinction is important because Form V itself is designed to bring together environmental information covering resource consumption, pollution and waste. The Environmental Statement is prescribed under Rule 14 of the Environment (Protection) Rules, 1986, for the financial year ending 31 March.
This article does not explain how to file Form V or how to collect its data department by department. Instead, it focuses on what should happen after the numbers are available but before they are accepted without question.
To know more on how to prepare Form V Environmental Statement
Consider an anonymised multiproduct manufacturing plant.
Its current-year comparison looks like this:
| Parameter | Previous year | Current year | Change |
|---|---|---|---|
| Production | 10,000 MT | 10,600 MT | +6% |
| Water consumption | 20,000 KL | 24,800 KL | +24% |
| Effluent generation | 8,000 KL | 9,440 KL | +18% |
| Raw Material A | 5,000 MT | 5,950 MT | +19% |
| COD concentration | 500 mg/L | 440 mg/L | -12% |
| Hazardous-waste generation | 50 MT | 64 MT | +28% |
| Environmental expenditure | ₹24 lakh | ₹61 lakh | +154% |
If these figures are reviewed only as totals, almost every line appears to require an explanation.
But once the operating context is added, the picture may look very different.
During the year:
Now the question is no longer whether the numbers “match.”
The task is to establish which variations are reasonable, which require investigation, and which indicate a data inconsistency.
One of the most useful ways to review Form V data is to put every significant year-on-year change into one of three buckets.
| Classification | What it means | Practical response |
|---|---|---|
| Explainable variation | The change is supported by an operational or measurement reason | Record the reason and supporting evidence |
| Unexplained variation | The change may be genuine, but the reason has not yet been established | Investigate source records and operating conditions |
| Data inconsistency | Source records do not support the reported figure, or related datasets contradict each other | Reconcile and correct the data before finalisation |
For example:
Production increased 20%.
Water increased 14%.
Water consumption per tonne actually reduced.
There may be little concern because the absolute increase is supported by higher activity and the specific consumption improved.
Production increased only 2%.
Water increased 25%.
There may still be a valid reason, but it deserves investigation.
The Form V working sheet shows annual water consumption increasing 25%.
But the monthly water-meter register shows only a 6% increase.
Now the issue is not simply variation.
There may be a calculation, transcription, unit-conversion or source-data problem.
This distinction prevents EHS teams from treating every large change as a problem - while also preventing genuine inconsistencies from being dismissed as “operational variation.”
Read building monthly Form V data readiness
This is where confusion often starts.
Suppose a plant reports:
| Parameter | Previous year | Current year | Change |
|---|---|---|---|
| Production | 10,000 MT | 12,000 MT | +20% |
| Water consumption | 20,000 KL | 22,800 KL | +14% |
Someone looking only at annual totals may say:
Water consumption has increased by 2,800 KL.
That is correct.
But it does not tell us whether environmental efficiency improved or deteriorated.
Now calculate water consumption per unit of production:
Previous year
20,000 KL ÷ 10,000 MT = 2.00 KL/MT
Current year
22,800 KL ÷ 12,000 MT = 1.90 KL/MT
So:
The plant used more water overall because it produced more.
But it used less water for every tonne produced.
That is a very different conclusion.
Absolute quantity tells us:
What was the plant's total environmental footprint?
Specific consumption tells us:
How much resource or pollution was associated with each unit of production?
Both matter.
A useful Form V year-on-year review should therefore compare both wherever the data allows.
The same principle applies to:
It is tempting to compare every environmental parameter directly with total production.
Production +10%?
Then water, waste and raw-material consumption should also be around +10%.
In day-to-day operations, factories rarely behave so neatly.
Total tonnes are only one part of the explanation.
A meaningful variation review should also ask:
These questions often explain more than annual production volume alone.
Consider a plant producing two products.
Requires relatively little process water and one final wash.
Requires additional reaction water, multiple wash cycles and more equipment cleaning between batches.
Last year:
This year:
Total production might increase by only 6%.
But water consumption could reasonably increase much more.
Effluent may rise.
ETP chemical consumption may rise.
Sludge generation may also rise.
The annual production number alone cannot explain this.
The issue is not limited to completely different products.
Different grades of the same product may require:
For multiproduct pharmaceutical, chemical, speciality-chemical, food, coating and similar plants, this becomes particularly important.
Same annual tonnage does not necessarily mean the same environmental load.
Suppose a plant normally produces 1,000 MT every month.
During one year, major maintenance and market conditions reduce production significantly.
For several months, however, the factory still requires:
These environmental demands do not necessarily fall to zero when production falls.
This creates an important distinction between base load and variable process load.
| Type of environmental demand | Typical behaviour |
|---|---|
| Domestic water | Partly independent of production |
| Cooling-tower evaporation | Driven by utility operation and weather as well as production |
| Boiler warm-up / standby use | Can continue at low production |
| Minimum scrubber circulation | May be required whenever connected equipment operates |
| Gardening | Largely unrelated to production |
| Process reaction water | More directly linked with production |
| Stoichiometric raw material | More directly linked with output |
| Batch washing | Linked more closely with number of batches/changeovers than annual tonnage |
This is why a low-production year can show worse specific consumption.
For example:
Production = 12,000 MT
Water = 24,000 KL
Specific consumption = 2.0 KL/MT
Production = 7,000 MT
Water = 18,000 KL
Specific consumption = 2.57 KL/MT
Total water actually decreased.
But water per tonne increased by almost 29%.
That does not automatically establish poorer operating discipline.
The fixed or semi-fixed environmental demand is now spread across fewer tonnes of production.
The plant should still investigate the movement, but the capacity-utilisation context matters.
A commissioning period can consume resources without producing normal saleable output.
There may be:
Specific consumption during such a period can therefore appear unusually high.
If the annual Form V figure includes such months, the EHS team should understand their contribution rather than comparing only the annual totals.
Not every year-on-year change represents a physical change in the plant.
Sometimes the plant simply measured something better this year.
That difference matters.
Suppose water consumption was historically estimated using pump operating hours.
A calibrated flow meter is installed this year.
The new measurement shows water consumption 17% higher than previous estimates.
Has water consumption actually increased?
Possibly.
But another possibility is that the previous estimation method understated consumption.
The two years are therefore not directly comparable without noting the measurement change.
An existing meter may gradually over-record or under-record flow.
After calibration or replacement, the reported annual quantity may shift.
A sudden year-on-year variation should therefore sometimes lead back to:
A plant may initially have one common water meter.
Later it installs separate meters for:
The newer data can be more accurate but less comparable with historical estimates.
That is not a reason to force the new figure to look like the old one.
It is a reason to document the change in measurement basis.
Typical examples include:
A good variation review therefore asks:
Did the environmental performance change, or did the way we measure environmental performance change?
Sometimes the answer is both.
Water is one of the most common areas where Form V figures look different from the previous year.
Suppose our example plant shows:
A simple comment saying “water increased because production increased” is not sufficient.
The production movement does not explain the full increase.
The next step is to understand where the additional water went.
For example:
| Water use | Previous year | Current year | Change |
|---|---|---|---|
| Process | 7,000 KL | 8,700 KL | +24% |
| Equipment washing | 2,000 KL | 3,400 KL | +70% |
| Cooling | 6,000 KL | 7,000 KL | +17% |
| Boiler | 2,000 KL | 2,200 KL | +10% |
| Domestic | 2,000 KL | 2,200 KL | +10% |
| Gardening/other | 1,000 KL | 1,300 KL | +30% |
| Total | 20,000 KL | 24,800 KL | +24% |
Now the variation starts becoming understandable.
The largest abnormal increase is in equipment washing, not process water.
A review of operating records may show that the number of product-grade changeovers increased substantially during the year.
Now the environmental variation has an operational explanation.
Water entering a plant can leave through several routes.
Depending on the process, it may become:
So if water increases 20%, effluent does not necessarily have to increase 20%.
The relationship should, however, make physical sense.
Water +20%
Effluent +5%
Possible reasons could include greater cooling-water demand, gardening, evaporation or increased reuse.
Water +5%
Effluent +25%
Now the EHS team may need to examine:
The purpose is not to manipulate the water balance until it looks perfect.
The purpose is to understand where the water physically went.
Raw-material variation becomes much more meaningful when considered on a production-normalised basis.
Return to our example plant.
Production increased 6%.
Raw Material A increased 19%.
That difference deserves a closer look.
Suppose:
Raw Material A = 5,000 MT
Production = 10,000 MT
Specific consumption:
0.50 MT raw material/MT product
Raw Material A = 5,950 MT
Production = 10,600 MT
Specific consumption:
0.561 MT/MT product
Specific consumption has increased by approximately 12%.
The useful question now becomes:
Why does the plant require more Raw Material A for each tonne of output?
Potential explanations include:
When significant additional material enters a process, it generally has to appear somewhere in the system.
Depending on the process, material may end up as:
Suppose Raw Material A consumption per tonne increases 12%.
But:
That does not prove the raw-material figure is wrong.
But it is a strong reason to look again.
There may be:
Environmental data becomes more reliable when related quantities are examined as a connected system rather than as independent spreadsheet cells.
This is one of the most commonly misunderstood environmental comparisons.
Suppose an ETP's COD concentration changes as follows:
Average effluent flow = 100 m³/day
COD concentration = 500 mg/L
Average effluent flow = 150 m³/day
COD concentration = 400 mg/L
At first glance, COD has improved because concentration reduced from 500 mg/L to 400 mg/L.
That conclusion is only partly correct.
The concentration is lower.
But more wastewater is being discharged.
For an approximate daily load:
Pollution load (kg/day) = Flow (m³/day) × Concentration (mg/L) × 0.001
Previous year:
100 × 500 × 0.001
= 50 kg COD/day
Current year:
150 × 400 × 0.001
= 60 kg COD/day
So:
Both statements can be true at the same time.
A year-on-year comparison should therefore avoid statements such as:
“COD reduced by 20%, therefore pollution reduced by 20%.”
That may not be correct if the effluent flow changed.
Instead, examine:
Concentration + Flow = Load
The same logic can be applied, where appropriate, to parameters such as:
For annual comparison, operating/discharge days and the actual basis used for annualisation also matter.
The important point is conceptual:
Concentration tells us how strong the pollutant is in a given volume. Pollution load tells us how much pollutant is being released over a period.
One cannot automatically substitute for the other.
Another frequent source of confusion is comparing waste generation with waste dispatched.
These are not necessarily the same quantity during a financial year.
Consider:
| Waste movement | Quantity |
|---|---|
| Opening stored quantity | 8 MT |
| Generated during current year | 50 MT |
| Dispatched during current year | 53 MT |
| Closing stored quantity | 5 MT |
Someone may ask:
How did the plant dispatch 53 MT when it generated only 50 MT?
Because 8 MT was already present at the beginning of the year.
Similarly, a plant may generate 50 MT but dispatch only 42 MT because some quantity remains stored at year-end.
For variation analysis, the basic relationship is:
Opening stock + generation − dispatch/other legitimate movement = closing stock
This article deliberately stops at that conceptual level.
Detailed hazardous-waste reconciliation is a separate exercise involving the underlying statutory records, manifests, acknowledgements and disposal evidence. Where the issue is specifically a waste mismatch, refer to EHSSaral's dedicated guidance on reconciling Form 3 register entries with Form 10 manifest acknowledgements rather than trying to resolve the entire chain inside the Form V variation analysis.
Learn why Form IV and Form V waste figures can differ
Suppose:
Production +6%
Hazardous-waste generation +28%
That is worth examining.
Possible reasons could include:
Again, the software or comparison table can identify the exception.
The EHS professional still needs to establish the reason.
Environmental expenditure is different from water or raw-material consumption because it is often affected by timing.
Consider this three-year example:
| Financial year | Environmental expenditure | Main reason |
|---|---|---|
| FY 2024–25 | ₹24 lakh | Routine monitoring, O&M and waste management |
| FY 2025–26 | ₹61 lakh | Routine expenditure plus major pollution-control upgrade |
| FY 2026–27 | ₹27 lakh | Return to normal recurring expenditure |
Looking only at the percentages could lead to strange conclusions.
Expenditure first increases sharply and then falls sharply.
But the underlying story is straightforward.
One year included a major capital project.
The following year did not.
Environmental expenditure may include different combinations of:
The useful year-on-year question is therefore:
What changed in the environmental activities or capital programme?
A lower expenditure number does not by itself establish reduced environmental performance.
Likewise, a higher expenditure number does not automatically establish improved performance.
The nature of the expenditure matters.
Rather than reviewing each number informally, a simple comparison matrix can make the process much more disciplined.
A useful structure is:
| Parameter | Previous year | Current year | YoY change | Specific change | Related parameter | Evidence checked | Assessment |
|---|---|---|---|---|---|---|---|
| Production | 10,000 MT | 10,600 MT | +6% | - | Operating days | Production records | Explainable |
| Water | 20,000 KL | 24,800 KL | +24% | +17% per MT | Effluent | Meter logs, washing records | Explainable |
| Effluent | 8,000 KL | 9,440 KL | +18% | +11% per MT | Water | Flow records | Explainable |
| Raw Material A | 5,000 MT | 5,950 MT | +19% | +12% per MT | Product mix/yield | Stores/ERP, batch records | Explainable |
| COD concentration | 500 mg/L | 440 mg/L | -12% | - | Effluent flow | Lab reports | Explainable |
| COD load | 4,000 kg* | 4,720 kg* | +18%* | - | COD + flow | Lab + flow records | Investigate |
| Hazardous waste | 50 MT | 64 MT | +28% | +21% per MT | Process/waste stream | Waste-generation records | Investigate |
| Environmental expenditure | ₹24 lakh | ₹61 lakh | +154% | - | CAPEX | Finance + PO records | Explainable |
*Illustrative figures only; the actual annual load should be calculated using the plant's appropriate monitoring, flow and operating-period basis.
The most important columns are not necessarily the percentages.
They are:
Related parameter
and
Evidence checked
Those two columns force the reviewer to ask whether the explanation is supported by something beyond memory.
A strong Form V variation review can examine each important parameter at four levels.
Example:
Water:
20,000 KL → 24,800 KL
Change:
+24%
This tells you the scale of the movement.
Production increased only 6%.
So water per MT also increased.
This tells you whether the plant's environmental intensity changed.
Did water gradually increase throughout the year?
Or did almost the entire increase occur between April and June?
This matters.
A three-month spike may point toward:
An annual total can hide this completely.
If water increased, what happened to effluent?
If raw-material consumption increased, what happened to production yield?
If effluent concentration fell, what happened to total load?
If waste increased, what happened to production mix?
This fourth comparison is where environmental data becomes particularly useful.
Instead of reviewing isolated figures, the plant starts reviewing relationships.
This is one of the first questions EHS professionals ask.
Should anything above 10% be investigated?
20%?
25%?
There is no sensible universal percentage that can be applied to every environmental parameter and every factory.
A useful internal exception rule should consider several factors together.
A 30% change naturally attracts attention.
But percentage alone can mislead.
Moving from 1 kg to 1.3 kg is also a 30% increase.
A small percentage change in a very large water-consumption figure may represent a significant quantity.
Water +20% with production +25% is different from water +20% with production unchanged.
A relatively small movement may deserve attention where a parameter is already close to an applicable limit.
Some parameters naturally move considerably with product mix or seasonal operation.
Others are normally very stable.
A large change from an estimated historical figure to a new calibrated measurement should be interpreted differently from a large change measured using an unchanged system.
Plants may also integrate these internal exception criteria with their broader environmental-management-system approach to identifying significant environmental performance changes.
The objective is not to create an artificial regulatory threshold.
The objective is to ensure that material and unusual changes do not pass through Form V preparation without being understood.
This is where Form V automation can go beyond generating a form.
A form-generation system can take approved annual numbers and place them into the required fields.
That is useful.
But the more valuable question is:
Which of those numbers should an EHS professional look at before the form is finalised?
EHSSaral can compare current environmental information against connected operational references such as:
Instead of waiting for someone to manually compare two annual spreadsheets, the system can surface exceptions such as:
Water consumption increased 24%, while production increased only 6%.
Or:
Specific raw-material consumption increased 12% compared with the previous year.
Or:
Effluent generation increased 18%, while total water consumption increased 24%. Review the changed water-use distribution.
Or:
COD concentration decreased, but estimated pollution load increased because effluent volume increased.
Or:
Hazardous-waste generation increased 28%, while production increased 6%.
The important point is that the software should not automatically decide that these changes are wrong.
It should say:
This relationship deserves attention.
The EHS professional then investigates the plant-specific reason.
That distinction matters.
Software surfaces the exception.
Operations explain it.
Evidence supports the conclusion.
Imagine that water consumption starts rising disproportionately in November.
A monthly comparison shows:
Production: +4%
Water: +21%
If the change is noticed then, the EHS team can still examine:
If the same issue is noticed only while preparing the annual environmental statement months later, identifying the operational cause becomes harder.
People forget.
Shift records become difficult to trace.
Operational context gets lost.
That is why EHSSaral's longer-term value is not simply producing Form V.
It is creating continuity between monthly environmental records and annual environmental interpretation.
Not every variation needs a lengthy report.
For material or unusual changes, however, a short internal variation note can be useful.
Its purpose is straightforward:
Explain what changed, why the plant believes it changed, and what evidence was reviewed.
It should not sound defensive.
It should not try to “justify” a number that has not been verified.
It should simply document the reasoning.
Parameter:
[Environmental parameter being reviewed]
Observed variation:
[Previous-year figure] to [current-year figure], representing approximately [X%] change.
Production / activity movement:
[Relevant production, operating-day, batch-count or activity movement]
Reason investigated:
[Operational or measurement reason identified]
Evidence reviewed:
[List of supporting records]
Assessment:
[Explainable variation / further investigation required / data correction required]
Follow-up action, if any:
[Monitoring, verification or corrective action]
Parameter: Total water consumption
Observed variation: Water consumption increased from 20,000 KL to 24,800 KL, representing an increase of approximately 24% compared with the previous reporting year.
Production movement: Total production increased approximately 6%.
Reason investigated: The additional increase was primarily associated with a higher proportion of Product B, increased product-grade changeovers and additional equipment-washing activity during the year. A water-meter replacement also improved measurement of one utility stream that had previously been partly estimated.
Evidence reviewed: Monthly water-meter records, production summary, batch/changeover records and meter-replacement/calibration documentation.
Assessment: Variation considered operationally explainable. Specific water consumption remains higher than the previous year and will continue to be reviewed through monthly monitoring.
This is much stronger than writing:
“Water increased due to production.”
The longer explanation shows that someone actually looked at the underlying cause.
If management, an auditor, consultant or regulatory officer later asks why a reported parameter changed materially, the EHS team should be able to trace the number back to its operational reason and supporting records.
A good note does not guarantee that no further questions will arise.
But it gives the plant a clear internal record of how the figure was evaluated.
That is good compliance practice irrespective of who later reviews the data.
Sometimes a current-year variation investigation produces an uncomfortable conclusion:
This year's figure may actually be more reliable than last year's figure.
Several situations can cause this.
This year uses calibrated measurement.
The values may not be directly comparable.
Perhaps a water stream, waste stream or production line was excluded from the previous calculation but included this year.
Last year:
Gross production.
This year:
Finished saleable production.
Specific-consumption comparisons will be distorted.
Common possibilities include:
A copied formula may have omitted a month or referenced the wrong cell.
This can remain unnoticed until a year-on-year comparison exposes it.
This is an important principle.
If the underlying current-year records support a figure, it should not be artificially altered merely because it differs sharply from the previous year's submission.
Instead, first determine what has changed:
Both figures may be reasonable, but they were produced using different methods or reporting boundaries.
Document the methodology difference.
The evidence suggests that the earlier submitted number itself may have been incorrect.
This requires more care.
The plant should establish the historical position internally and determine, through the appropriate compliance function and where necessary in consultation with the concerned SPCB/PCC, whether any clarification or corrective submission is appropriate.
There is no value in creating a second questionable figure simply to make two years look consistent.
Return to our original plant.
The first review showed:
| Parameter | Change |
|---|---|
| Production | +6% |
| Water | +24% |
| Effluent | +18% |
| Raw Material A | +19% |
| COD concentration | -12% |
| Hazardous waste | +28% |
| Environmental expenditure | +154% |
After investigation:
Finding: Product B share increased and required more washing. Grade changes also increased. A new water meter improved measurement.
Assessment: Explainable variation, but specific consumption remains higher and deserves continued monitoring.
Finding: Increased washing contributed additional process wastewater. Water increased more than effluent because cooling-water use also increased.
Assessment: Explainable variation.
Finding: Specific consumption increased approximately 12%. Product B requires a higher proportion of Raw Material A and raw-material purity was slightly lower during part of the year.
Assessment: Explainable, subject to confirmation from production and stores records.
Finding: ETP outlet concentration improved.
But because total effluent quantity increased, the change in annual pollution load was smaller than the concentration change alone suggests.
Assessment: Compare concentration and annual load separately.
Finding: Higher Product B share and increased ETP sludge generation contributed to additional waste.
Assessment: Explainable only after checking the waste stream and underlying generation records.
Finding: Current year included a one-time pollution-control system upgrade.
Assessment: Timing/CAPEX-driven variation.
The final Form V numbers have not been made artificially smoother.
Nothing has been changed merely to resemble last year.
Instead, the plant now understands why the environmental profile changed.
That is the real purpose of year-on-year variation analysis.
Use this as a final diagnostic review.
If these questions can be answered clearly, the Form V figures become much easier to understand.
If they cannot, the unresolved variation is telling the plant where to look next.
A Form V figure does not become questionable simply because it is different from last year.
What matters is whether the movement makes sense.
A strong year-on-year review should look at:
Absolute quantity → Specific consumption → Monthly pattern → Related environmental parameters → Supporting evidence
Production alone may not explain a variation.
Product mix, utilisation, shutdowns, cleaning frequency, measurement changes, water balance, pollution load, waste storage and capital expenditure can all change annual figures.
And where the underlying relationship does not make sense, the plant should investigate the data rather than invent an explanation.
This is also where environmental compliance software can become more useful.
Generating Form V is one task.
Knowing which Form V number deserves attention is a different capability.
EHSSaral is being designed around that second problem - connecting operational environmental records, comparing them with historical values and surfacing exceptions so that the EHS professional can investigate the right issue.
Good compliance starts with understanding what the numbers are saying.
The objective of a Form V year-on-year comparison is not to make this year's environmental statement look similar to the previous one.
Factories change.
Production changes.
Processes change.
Measurements improve.
Environmental loads move.
What matters is whether the plant understands those movements.
A number that changed and can be explained is very different from a number that changed and nobody knows why.
That is where meaningful environmental compliance intelligence begins.
Form V figures can change because of production volume, product mix, plant utilisation, raw-material quality, process changes, water use, shutdowns, trial production, waste generation, capital expenditure or changes in measurement methodology.
A difference is not automatically an error. The important question is whether the variation can be explained from underlying operational and environmental records.
There is no universal percentage that should automatically be treated as an acceptable or unacceptable Form V variation.
Plants can use internal exception criteria considering percentage change, absolute quantity, production-normalised movement, historical variability, environmental significance, measurement reliability and proximity to applicable limits.
A small percentage change in an important parameter may deserve more attention than a large percentage change in a minor quantity.
Possible reasons include a change in product mix, more batch washing, additional grade changeovers, cooling demand, boiler operation, leakage, lower recycled-water use, commissioning, shutdown/restart activity, additional domestic consumption or changed measurement methodology.
Break the water figure into individual uses before concluding that the increase is abnormal.
Both should be reviewed.
Total consumption shows the absolute quantity used.
Consumption per unit of production shows whether material intensity changed.
If raw-material consumption increases 15% while production increases 20%, specific consumption may actually have improved.
Yes.
Pollution load depends on both concentration and flow.
For example, if COD concentration decreases but wastewater flow increases substantially, the total COD load may still increase.
A simplified daily calculation is:
Load (kg/day) = Flow (m³/day) × Concentration (mg/L) × 0.001
Because waste stored from the previous year may also be dispatched during the current year.
For example:
Opening stock = 8 MT
Current-year generation = 50 MT
Dispatch = 53 MT
Closing stock = 5 MT
Generation and dispatch therefore do not have to be identical within the same financial year.
Not merely to preserve consistency.
If current-year records support the figure, first determine why comparability has changed.
The previous year may have used an estimate, different reporting boundary, different denominator or incorrect calculation.
Where an earlier statutory submission itself may require correction or clarification, the appropriate compliance function and, where necessary, the concerned SPCB/PCC should be consulted before taking action.
A simple variation note can record:
The note should remain factual and neutral. Its purpose is to document the basis of the environmental number, not to create a justification after the event.
Founder, EHSSaral
Founder - EHSSaral | Partner - Perfect Pollucon | ISO 14001 Lead Auditor | GHG Protocol Scope 2 | Chemist | Data Scientist | Second-generation environmental professional simplifying EHS compliance for Indian industries through practical, automated, tech-enabled, data driven compliance workflows.

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